{"_buckets": {"deposit": "3a24491b-025e-4949-b387-b6eef9fc6532"}, "_deposit": {"id": "4597", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4597"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4597", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "An Efficient Tumor Segmentation of MRI Brain Images Using Thresholding and Morphology Operation", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "In medical image processing, segmentation of theinternal structure of brain is the fundamental task. Theprecise segmentation of brain tumor has great impact ondiagnosis, monitoring, treatment planning for patients.Various segmentation techniques are widely used for brainMagnetic Resonance Imaging (MRI). The aim of this paperpresents an efficient method of brain tumor segmentation.Morphological operation, pixel extraction threshold basedsegmentation and Gaussian high pass filter techniques areused in this paper. Thresholding is the simplest approach toseparate object from the background, and it is an efficienttechnique in medical image segmentation. Morphologyoperation can be used to extract region of brain tumor. Thissystem converts the RGB image to gray scale image andremoves the noise by using Gaussian high pass filter.Gaussian high pass filter produced sharpen image and thatimproves the contrast between bright and dark pixels. Thismethod will help physicians to identify the brain tumor beforeperforming the surgery."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Image segmentation"}, {"interim": "Thresholding"}, {"interim": "Morphology operation"}, {"interim": "Preprocessing"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-03-17"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "An Efficient Tumor Segmentation of MRI Brain Images Using Thresholding and Morphology Operation.pdf", "filesize": [{"value": "979 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 979000.0, "url": {"url": "https://meral.edu.mm/record/4597/files/An Efficient Tumor Segmentation of MRI Brain Images Using Thresholding and Morphology Operation.pdf"}, "version_id": "774024b8-0f2b-49d0-aa0f-3e5e2d757305"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Myint, Hla Hla"}, {"subitem_authors_fullname": "Aung, Soe Lin"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2020-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "978-1-7281-5925-6"}, "item_title": "An Efficient Tumor Segmentation of MRI Brain Images Using Thresholding and Morphology Operation", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004597", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-17"}, "publish_date": "2020-03-17", "publish_status": "0", "recid": "4597", "relation": {}, "relation_version_is_last": true, "title": ["An Efficient Tumor Segmentation of MRI Brain Images Using Thresholding and Morphology Operation"], "weko_shared_id": -1}